Principal Solution Engineer

Jobtailor; California (MO); On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor is seeking a seasoned Snowflake pre-sales engineer to present the technology to executives and technical contributors, run compelling demos, and guide customers from proof of concept to design and implementation. You will stay immersed in cloud data platforms, collaborate with Product, Engineering and Marketing to shape Snowflake's offerings, and travel onsite about 30% to engage with prospects.

Your background includes 8–12 years in the industry with 5+ in pre-sales, strong presenting

Qualifications

• 8-12 years of industry experience, 5+ years in pre-sales.
• Strong presenting skills to technical and executive audiences.
• 5+ years of cloud-based ML and generative AI deployment.
• Experience with large-scale DB/Data Warehouse, ETL, analytics, cloud tech.
• SQL, analytics, and Python experience.
• Ability to map customer problems to Snowflake solutions.
• Deep discovery of customer architecture and Snowflake Data Architecture.
• University degree in CS/engineering/math or related; Masters preferred.
• GSI experience helpful but not required.
• Expect to be onsite with customers about 30% of the time.

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Skills

SQL

Python

Machine Learning

Generative AI

Data Lake

Data Mesh

Data Fabric

ETL

Analytics

Cloud Technologies

Education

University Degree in Computer Science

Masters in Data Science

Masters in Business Administration

Tools

Snowflake

Data Architecture

Job description

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Requirements

• 8-12 years of industry experience with a minimum of 5 years within a pre-sales environment
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
• Hands-on expertise with SQL, SQL analytics, and Python.
• Ability to connect a customer’s specific business problems and Snowflake’s solutions
• Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in DataScience or Business Administration is a plus.
• Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
• Expect to be onsite with customers about 30% of the time

Core Competencies

Demonstrates expertise in presenting Snowflake technology to diverse audiences, leveraging extensive experience in pre-sales environments. Proficient in building and deploying machine learning and generative AI solutions, with a strong foundation in database technologies and cloud analytics.

Highest-signal resume keywords

• Pre-Sales Experience
• Machine Learning Solutions
• SQL Analytics
• Data Warehouse Technology
• Customer Discovery

ATS Optimization Keywords

Hard Skills

• SQL
• Python
• Machine Learning
• Generative AI
• Data Lake
• Data Mesh
• Data Fabric
• ETL
• Analytics
• Cloud Technologies

Soft Skills

• Outstanding Presenting Skills
• Communication
• Collaboration

Certifications & Qualifications

• University Degree in Computer Science
• Masters in Data Science
• Masters in Business Administration

Industry Keywords

• Database Technology
• Data Warehouse
• Cloud Solutions
• Competitive Technologies
• GSI Experience

Tools & Technologies

• Snowflake
• Data Architecture